Metro Train Operation Scheme Based On Passenger Flow Control

With the continuous construction and development of the subway,due to its large capacity,high speed and punctuality,the subway has gradually become the main way for passengers to travel.The mileage and scale of subway operations are growing rapidly,and the transportation tasks that subways undertake in the urban transportation system are gradually increasing.Metro stations are one of the main places for the flow of people.When the passenger flow is too large,it is necessary to adopt station passenger flow control to ensure the safety of passengers.As the epidemic prevention and control is still required in the post-epidemic period,the station passenger flow control becomes more important.Therefore,subway companies need to scientifically formulate subway train operation plans based on the consideration of passenger flow control in stations,implement normalized epidemic prevention,and ensure the safety of passengers.In this paper,combined with domestic and foreign related research,the subway train operation plan considering passenger flow control is studied from the following aspects.First,analyze the characteristics of the main elements of the subway train operation plan and the undercarriage utilization in the subway train operation organization,and discuss the relationship between the subway train schedule and the undercarriage connection plan.Then,consider the characteristics of subway passenger flow and the reasons and methods of station passenger flow control;introduce the human-vehicle interaction process in the optimization model and sort out the relationship between station passenger flow control and subway train operation organization.Then,the train departure interval,the number of passengers on the train,and the number of passengers waiting on the platform are used as state variables,while the constraints of train and platform capacity under normal and epidemic conditions,train turnback operations,and entry and exit depot operations are considered to maximize The number of trains accepted by the same vehicle bottom,minimizing the number of passengers controlled by the station and the number of people waiting on the platform are the objective functions,and a mixed integer nonlinear programming model is constructed for the study of subway train operation schemes considering passenger flow control.The nonlinear constraints in the model are linearized through the mixed logic dynamic model(MLD),and the original model is transformed into a mixed integer linear programming model.Finally,taking a subway line in M city as an example,combined with the method proposed in this article,we get the train departure interval,train stop time,number of connections under the train,passenger flow control strategy at the station,and the number of passengers on board under normal and epidemic conditions.By analyzing the differences of various indicators in the two cases,it is concluded that higher transportation capacity and the level of passenger flow control in stations are required under the epidemic situation,which can provide a theoretical reference for the preparation of subway operation plans.